Эта вакансия в архивеПосмотреть похожие вакансии ↓
Gopuff·USA·25 авг.
Director, Data Science
17 917 – 22 917 $
на 245% выше медианы рынка
≈ 1,6 млн–2 млн ₽
🌍 УдалённоLeadПолная занятость🌐 Глобал
80
Сильная вакансия
Платят на 78% выше медианы грейда, навык востребован (python).
Наша компания
Gopuff is the go-to instant commerce platform, delivering everyday essentials in minutes. Powered by a network of fulfillment centers and cutting-edge technology, we serve millions of customers across the US and beyond. Data Science sits at the heart of how we delight customers, optimize operations, and grow our advertising business — and we're looking for a leader to push all three forward. As Director of Data Science, you will lead a high-impact team responsible for the models and intelligence that power Gopuff's consumer experience, delivery network, and advertising platform. This is a hand
Чем предстоит заниматься
Own the end-to-end data science roadmap across Consumer, Delivery, and Ads — translating business priorities into a coherent ML strategy with clear milestones and measurable ROI
Provide strong technical direction and mentorship to a team of Data Scientists and ML Engineers; establish best practices for model development, evaluation, and deployment
Partner with C-suite and senior product leadership to influence product strategy and build organizational confidence in ML-driven decision-making
Drive a culture of experimentation: define measurement frameworks, champion A/B testing rigor, and hold the team accountable to business impact
Lead the design and continuous improvement of Gopuff's search ranking and query understanding systems, including semantic search and intent modeling
Build and scale personalization infrastructure that adapts the customer experience in real time — from homepage carousels to dynamic upsell and cross-sell surfaces
Develop next-generation recommendation models (collaborative filtering, two-tower retrieval, contextual bandits) that drive basket size and repeat purchase
Partner with Product to define upsell and nudge strategies grounded in behavioral signals and causal inference
Work day to day with gopuff engineering teams to bring search and recommendation changes to life
Architect and own Gopuff's ad ranking stack — query-ad relevance scoring, multi-objective ranking (revenue × customer experience), and auction mechanics
Build CTR/CVR prediction models and closed-loop attribution pipelines for sponsored product, display, and offsite formats
Define and improve advertiser-facing ML products: bid optimization, budget pacing, audience targeting, and incrementality measurement
Collaborate with the Ads Product and Sales teams to grow advertiser ROI while protecting the organic shopping experience
Наши требования
8+ years in applied data science or ML, with at least 3 years managing teams of scientists and engineers in a fast-paced tech or e-commerce environment
Proven experience building and shipping Ad ranking or retrieval systems in e-commerce, marketplace, or search contexts — including relevance modeling and multi-objective optimization
Deep expertise in modern ML architectures: two-tower retrieval, transformers, LLMs, contextual bandits, GNNs, and causal/uplift modeling
Strong product intuition and business acumen — you can connect model improvements to revenue, NPS, and operational metrics and communicate this clearly to executives
Hands-on coder: proficient in Python and comfortable diving into model code, experiment pipelines, and production systems
Experience with large-scale ML infrastructure: familiar with feature stores, model registries, real-time serving, and experimentation platforms
Track record of building and retaining diverse, high-performing data science teams
Prior leadership at a consumer marketplace, quick-commerce, grocery, or retail media company
Familiarity with retail media network (RMN) measurement standards and privacy-preserving attribution techniques
Experience with real-time personalization at scale, including streaming feature pipelines. Familiarity with Databricks and Snowflake is a plus
Publications or presentations at NeurIPS, KDD, RecSys, SIGIR, or equivalent
Мы предлагаем
Medical/Dental/Vision Insurance
401(k) Retirement Savings Plan
HSA or FSA eligibility
Long and Short-Term Disability Insurance
Fitness Reimbursement Program
25% employee discount & FAM Membership
Flexible PTO
Group Life Insurance
EAP through AllOne Health (formerly Carebridge)
Gopuff pays employees based on market pricing and pay may vary depending on your location. The salary range below reflects what we’d reasonably expect to pay candidates. A candidate’s starting pay will be determined based on job-related skills, experience, qualifications, interview performance, and market conditions. These ranges may be modified in the future. Exceptions may be made for exceptional individuals. For additional information on this role’s compensation package, please reach out to the designated recruiter for this role
This role is eligible for a discretionary annual cash bonus and participation in Gopuff’s equity incentive plan
Additional Information
At Gopuff, we know that life can be unpredictable. Sometimes you forget the milk at the store, run out of pet food for Fido, or just really need ice cream at 11 pm. We get it—stuff happens. But that’s where we come in, delivering all your wants and needs in just minutes
And now, we’re assembling a team of motivated people to help us drive forward that vision to bring a new age of convenience and predictability to an unpredictable world
Like what you’re hearing? Then join us on Team Blue
Дополнительно
Own the predictive models powering ETA accuracy, dynamic dispatch, and driver routing that underpin Gopuff's speed promise
Partner with Operations to turn model outputs into actionable tooling for fulfillment center and driver teams
Unique data moat: real-time demand signals from millions of orders, deep catalog and fulfillment data, and a first-party advertising signal set most companies can only dream about
High-autonomy, high-impact: you'll report to senior leadership and own the roadmap — no bureaucracy between your ideas and production
Greenfield opportunity: many of these ML capabilities are being built from the ground up, giving you the chance to architect lasting systems
Competitive compensation package including equity, performance bonus, and comprehensive benefits
Base Salary Range: $215,000 - $275,000
Технологии и навыки
Gopuff
USA
ГрейдLead
ЗанятостьПолная занятость
РегионСША
ФорматУдалённо
ИсточникСкрыто
Опубликовано25 авг.
Мы против мошенников на площадке: если тебя просят заплатить, продиктовать код или установить непонятное приложение, прекращай общение и сразу пиши нам (чат с основателем или форма обратной связи).